most citedSample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control

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cs.LG2023

Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help

Yunbo Qiu, Yue Jin, Lebin Yu +2

Multi-agent reinforcement learning (MARL) has achieved great progress in cooperative tasks in recent years. However, in the local reward scheme, where only local rewards for each a…

cs.LG2022★ 1 cited

Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control

Yunbo Qiu, Yuzhu Zhan, Yue Jin +2

Flocking control is a significant problem in multi-agent systems such as multi-agent unmanned aerial vehicles and multi-agent autonomous underwater vehicles, which enhances the coo…

cs.LG2022

Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control

Yunbo Qiu, Yue Jin, Jian Wang +1

Flocking control is a challenging problem, where multiple agents, such as drones or vehicles, need to reach a target position while maintaining the flock and avoiding collisions wi…